1.中国矿业大学信息与控制工程学院,江苏 徐州 221116
2.西北工业大学软件学院,陕西 西安 710072
3.南京航空航天大学电子信息工程学院, 江苏 南京 210024
[ "何立军(1989- ),男,博士,中国矿业大学信息与控制工程学院副教授,主要研究方向为天空地一体化网络、无人机组网、无线通信。" ]
[ "李雨彤(2001- ),女,西北工业大学软件学院硕士生,主要研究方向为天空地一体化网络、无线通信。" ]
[ "贾子晔(1990- ),女,博士,南京航空航天大学电子信息工程学院副教授,主要研究方向为低空智联网、无人机、天空地一体化网络。" ]
[ "汪彦婷(1989- ),女,博士,西北工业大学软件学院讲师,主要研究方向为边缘计算、群智网络、模型剪枝。" ]
[ "王洪梅(1983- ),女,博士,中国矿业大学信息与控制工程学院副教授,主要研究方向为无线通信、软件无线电、室内定位技术。" ]
[ "李世银(1971- ),男,博士,中国矿业大学信息与控制工程学院教授,主要研究方向为煤矿信息化、移动目标定位等。" ]
收稿:2025-07-21,
修回:2025-10-19,
纸质出版:2026-03-20
移动端阅览
何立军,李雨彤,贾子晔等.高动态天空地一体化网络资源表征与分配建模[J].天地一体化信息网络,2026,07(01):61-70.
He Lijun,Li Yutong,Jia Ziye,et al.Modeling for Resource Representation and Allocation in Highly-Dynamic Space-Air-Ground Integrated Network[J].Space-Integrated-Ground Information Networks,2026,07(01):61-70.
何立军,李雨彤,贾子晔等.高动态天空地一体化网络资源表征与分配建模[J].天地一体化信息网络,2026,07(01):61-70. DOI: 10.11959/j.issn.2096-8930.2026007.
He Lijun,Li Yutong,Jia Ziye,et al.Modeling for Resource Representation and Allocation in Highly-Dynamic Space-Air-Ground Integrated Network[J].Space-Integrated-Ground Information Networks,2026,07(01):61-70. DOI: 10.11959/j.issn.2096-8930.2026007.
天空地一体化网络因具有高速运动低轨卫星、高机动空基平台以及快速移动的地面节点而呈现“时变拓扑、异构链路、跨域耦合”的显著特征,导致网络资源状态在分钟级拓扑重构与秒级/毫秒级业务涌浪之间剧烈振荡。传统单尺度时变图模型以固定时隙方式离散化该过程,出现“粒度失配、复杂度爆炸、表征失真”三重瓶颈问题。为此,提出双尺度时变图模型,在拓扑-业务双驱动框架下实现高动态网络资源演化精准刻画。同时,基于双尺度时变图模型进一步构建高动态网络资源分配模型,实现空间业务与空间资源的高效精准匹配。仿真结果表明,所提双尺度时变图模型在表征精度与计算效率上具有双重优势,为天空地一体化网络高动态资源管控提供理论工具。
The space-air-ground integrated network (SAGIN) exhibits pronounced characteristics of time-varying topology
heterogeneous links
and cross-domain coupling
all driven by high-velocity LEO satellites
highly maneuverable aerial platforms
and rapidly moving terrestrial nodes
which together cause network resource states to oscillate violently between minute-level topology reconfigurations and second or millisecond-level traffic surges. Conventional single-scale time-varying graph models discretize this process with fixed time slots
incurring a triple bottleneck of granularity mismatch
complexity explosion
and representation distortion. To address these issues
this paper proposes the dual-scale time-varying graph (DSTVG)
which
under a topology-traffic co-driven framework
enables accurate characterization of high-dynamic network resource evolution. Additionally
a high-dynamic network resource allocation model is built upon DSTVG to achieve efficient and precise matching between spatial traffic demands and spatial resources. Simulation results demonstrate that the dual advantages of the proposed DSTVG in representation accuracy and computational efficiency
offering a scalable theoretical tool for high-dynamic resource management in SAGIN.
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